Backpropagation
can compute the gradient that
Hybrid Monte Carlo needs
1.Do a forward pass computing
hidden activities.
2.Do a backward pass
all the way to the data to compute the derivative of
the global energy w.r.t each component of the data
vector.
works with any smooth
non-linearity
data
j
k
Ek
Ej
